Publications by authors named "D N Salem"

Objective: To evaluate the impact of infertility and Medically Assisted Procreation (MAP) on female sexuality. Human sexuality presents a multifaceted complexity, shaped by diverse factors and individual intricacies. Infertility and assisted reproductive treatments entail a prolonged and arduous journey, amplifying pre-existing sexual dysfunctions and serving as a rigorous trial of the affected women's sexuality and the resilience of couples.

View Article and Find Full Text PDF

is an obligate human parasite of the phylum Apicomplexa and is the causative agent of the most lethal form of human malaria. Although N6-methyladenosine modification is thought to be one of the major post-transcriptional regulatory mechanisms for stage-specific gene expression in apicomplexan parasites, the precise base position of m6A in mRNAs or noncoding RNAs in these parasites remains unknown. Here, we report global nucleotide-resolution mapping of m6A residues in using DART-seq technology, which quantitatively displayed a stage-specific, dynamic distribution pattern with enrichment near mRNA 3' ends.

View Article and Find Full Text PDF

Background: The Tie2/Ang pathway was found to be involved in forming tumor blood vessels in various tumors. The goal of this study was to evaluate the value of Tie2/Ang pathway as a novel biomarkers for the early detection of chronic hepatitis C virus (CHC)-related hepatocellular carcinoma (HCC). And the possibility of their future application in HCC treatment.

View Article and Find Full Text PDF

Background: Post dural puncture headache (PDPH) is a major challenging complication and may be a cause of morbidity after spinal anesthesia. Currently there is no definitive management for PDPH, so the search for effective treatment continues.

Objectives: Our aim was to investigate the analgesic effectiveness of oral prednisolone vs oral pregabalin for managing PDPH subsequent to spinal anesthesia for lower limb surgeries.

View Article and Find Full Text PDF

Electroencephalography source imaging (ESI) is an ill-posed inverse problem: an additional constraint is needed to find a unique solution. The choice of this constraint, or prior, remains a challenge for most ESI methods. This work explores the application of supervised learning methods for spatio-temporal ESI, where the relationship between measurements and sources is learned directly from the data.

View Article and Find Full Text PDF